Ministral 14B vs Mistral Large 3 vs Trinity Nano Preview
Too close to call on our weighted score (Ministral 14B 45, Mistral Large 3 45, Trinity Nano Preview 25). The right pick depends on what you value most.
Mistral AIMinistral 14B
45/100- ECI—
- Price$0.20 / $0.20
- Context262K
- Mistral AI
Mistral Large 3
45/100- ECI—
- Price$0.50 / $1.50
- Context262K
Arcee AITrinity Nano Preview
25/100- ECI—
- Price—
- Context131K
Too close to call
It is close. Our weighted score puts them within a point (Ministral 14B 45/100, Mistral Large 3 45/100, Trinity Nano Preview 25/100), so choose by what matters most for your work: Ministral 14B on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMinistral 14BMinistral 14B $0.20 · Mistral Large 3 $0.75 per 1M tokens (3:1 blend) · Trinity Nano Preview unpriced
- Longest contextMinistral 14B and Mistral Large 3Ministral 14B 262,144 · Mistral Large 3 262,144 · Trinity Nano Preview 131,072 tokens
- Widest inputsMinistral 14B and Mistral Large 3Ministral 14B: Text, Images · Mistral Large 3: Text, Images · Trinity Nano Preview: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 14B | Mistral Large 3 | Trinity Nano Preview |
|---|---|---|---|---|
| Inputs & features | 60% | 50 | 50 | 25 |
| Context window | 40% | 37 | 37 | 24 |
| Overall | 100% | 45/100 | 45/100 | 25/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Ministral 14BMistral AI | Mistral Large 3Mistral AI | Trinity Nano PreviewArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $0.50 | — |
| Output | $0.20 (best) | $1.50 | — |
| Cached input | — | $0.05 | — |
| Blended (3:1) | $0.20 (best) | $0.75 | — |
| Long-context rate | Same rate | Same rate | — |
| Price source | Median of 1 providers | Official Mistral API | — |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 131,072 tokens |
| Max output | 262,144 tokens (best) | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | Open | OpenOpenMDW-1.1 |
| API model ID | — | mistral-large-2512 | — |
| API providers | 1 | 13 (best) | — |
| Released | Dec 2, 2025 | Dec 2, 2025 | Dec 1, 2025 |
| Knowledge cutoff | — | Nov 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ministral 14B$2.40
- Mistral Large 3$8.00
- Trinity Nano Preview—
Which should you choose?
Which is better: Ministral 14B, Mistral Large 3 or Trinity Nano Preview?
It is close. Our weighted score puts them within a point (Ministral 14B 45/100, Mistral Large 3 45/100, Trinity Nano Preview 25/100), so choose by what matters most for your work: Ministral 14B on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Ministral 14B, Mistral Large 3 or Trinity Nano Preview?
Ministral 14B is cheaper at $0.20 input / $0.20 output per million tokens (median across 1 API provider). Mistral Large 3 costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Ministral 14B versus $0.75 for Mistral Large 3 (3.8× as much). Trinity Nano Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 14B has not been scored yet, Mistral Large 3 has not been scored yet and Trinity Nano Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 14B, Mistral Large 3 and Trinity Nano Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Ministral 14B and Mistral Large 3 have the largest context windows (262,144 and 262,144 tokens), against 131,072 for Trinity Nano Preview. Maximum output per response: Ministral 14B up to 262,144, Mistral Large 3 up to 262,144, Trinity Nano Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ministral 14B accepts text and images; Mistral Large 3 accepts text and images; Trinity Nano Preview accepts text. Ministral 14B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache-2.0 and OpenMDW-1.1), so you can self-host them.
Which is newer?
Ministral 14B is the newest, released Dec 2, 2025. Mistral Large 3 came out Dec 2, 2025; Trinity Nano Preview came out Dec 1, 2025. Knowledge cutoff: Mistral Large 3 Nov 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
